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Added 18 mins ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive,…
Added 18 mins ago
Tech Lead - Software Engineering
DataVisor
Remote, Canada
Full-time · Remote
Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive,…
Added 32 mins ago
Sr. Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Sr. Software Development Engineer to lead the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects,…
Added 1 hour ago
Principal AI/ML Engineer
Vanguard
Toronto, ON
Full-time
As a Principal AI Engineer, you will serve as a senior technical leader responsible for transforming state-of-the-art AI research into scalable, production-ready capabilities that create…
Added 1 hour ago
Senior Service Reliability Engineer
Fitch Ratings
Toronto, ON
Full-time
…Core Engineering, Networking, and other SRE groups as part of Cloud Infrastructure & Platform Engineering (CI&PE), serving as subject matter experts in cloud technologies, systems…
Added 1 hour ago
Senior Machine Learning Engineer- AIOS
Zafin
Toronto, ON
Zafin is an AI platform company helping regulated institutions modernize how critical work is designed, governed, and delivered. Our technology enables organizations to move faster while…
Added 1 hour ago
Senior Data Engineer, Network Intelligence
Xplore Inc.
Canada
Full-time
As a Senior Data Engineer on the Network Intelligence team, you will own the end-to-end data pipeline function that powers Xplore's network analytics, observability, and AI capabilities…
Added 1 hour ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 2 hours ago
Software Engineering Developer, DevOps
General Dynamics Missions System International
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 2 hours ago
Copy of Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 2 hours ago
Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Ottawa, ON
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 3 hours ago
Senior Service Reliability Engineer
Fitch Group
Toronto, ON
…Core Engineering, Networking, and other SRE groups as part of Cloud Infrastructure & Platform Engineering (CI&PE), serving as subject matter experts in cloud technologies, systems…
Added 3 hours ago
Copy of Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 3 hours ago
Copy of Software Engineering Developer, DevOps
General Dynamics Mission Systems–Canada
Calgary, AB
$85,000 to $110,000 CAD / year
Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 3 hours ago
Principal AI Cloud Engineer
BMO
Toronto, ON · FCP
Full-time
The Team - We accelerate BMO’s AI journey by building cloud-native AI solutions. Our team combines engineering excellence with cutting-edge AI to deliver scalable, secure, and responsible…
Added 3 hours ago
Senior Software Developer, AI Search
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
Full-time
Autodesk’s Design and Make Platform helps millions of designers, engineers, builders, and creators turn ideas into real-world outcomes. The Visualization Services team builds the cloud…
Added 4 hours ago
Sr. Staff Software Engineer, Inference Platform
Cerebras
Toronto, ON
Full-time
We're hiring a Staff Engineer to help lead, drive, and contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our…
Added 4 hours ago
ML Systems Integration Engineer
Cerebras
Toronto, ON
Full-time
…inference speeds; over 10 times faster than GPU-based hyperscale cloud inference…
Added 4 hours ago
Staff Site Reliability Engineer – Automation and Platform
Cerebras
Toronto, ON
Full-time
8+ years in SRE, infrastructure engineering, or platform engineering, with a strong record of improving automation and reliability at large scale in FAANG, hyperscaler, or similarly…
Added 4 hours ago
Senior SDET, Inference Platform
Cerebras
Toronto, ON
Full-time
We are looking for an Inference Platform SDET to join the Inference Service Quality team at Cerebras and work on the inference platform. This team sits at the intersection of distributed…
Added 4 hours ago
Staff GPU Inference SDET
Cerebras
Toronto, ON
Full-time
8+ years of software engineering experience as an SDET, Infrastructure Quality Lead, or Systems Test Engineer.
Added 4 hours ago
Software Engineer, Inference Platform
Cerebras
Toronto, ON
Full-time
We're hiring a Software Engineer to help contribute to projects on our Inference Platform team. Our team primarily owns the orchestration layer that runs inference on our datacenter…
Added 5 hours ago
Staff Software Engineer, Inference API
Cerebras Systems
Remote, Canada
Full-time · Remote
We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference…
Added 8 hours ago
Senior Data Engineer - Data Infra (Canada)
Dandy
Remote, Canada
$133,600 to $167,000 USD / year
Full-time · Remote
Dandy is hiring a hands-on Senior Data Engineer to join our rapidly growing venture-backed company. The Data Infrastructure team owns the data platform - ingestion, pipelines, and the…
Added 9 hours ago
Sr. Software Dev Engineer, Ring Cloud Connectivity Org
Amazon
Toronto, ON
Ring is seeking a Senior Software Development Engineer to join the Cloud Connectivity organization in Toronto, where you'll lead the design and delivery of large-scale, customer-facing…

Cerebras Systems

Staff Software Engineer, Inference API

Remote, Canada

Job type: Full-time
Workplace: Remote
Experience: 5+ years of software engineering experience, including substantial individual-contributor ownership of production software or distributed systems.
Posting language: English
Posted: Sep 23, 2026

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Original job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About the Role

Cerebras is building a new generation of disaggregated AI inference systems that combine GPU-accelerated prefill with ultra-fast decode on the Cerebras Wafer-Scale Engine.

We are hiring a Software Engineer to build and evolve the ML API layer that makes this heterogeneous serving system accessible, reliable, and easy to use. You will work across our inference APIs, model integration layer, request-routing services and Cerebras inference platform to deliver a consistent experience across models and accelerator backends.

This role sits at the intersection of machine learning systems, API design, model serving, and distributed systems. You will enable new model architectures and inference capabilities, define stable user-facing behavior, and ensure that features such as streaming, sampling, tool use, structured outputs, multimodal inputs, and model configuration behave correctly and consistently in production.

You will work closely with model enablement, compiler, runtime, cloud infrastructure, product, customer-facing teams, and customers directly. This is a hands-on software engineering role for someone who enjoys turning rapidly evolving ML capabilities into durable, production-quality APIs.

Responsibilities

Build production ML inference APIs. Design, implement, and maintain APIs for chat completions, text generation, streaming, model configuration, tool calling, structured outputs, multimodal inputs, and other emerging inference capabilities.
Deliver a unified serving experience. Create consistent request and response semantics across GPU prefill, Cerebras decode, and other heterogeneous inference backends.
Enable new models and capabilities. Integrate emerging foundation models, tokenizers, prompt formats, sampling methods, attention variants, multimodal inputs, and model-specific features into the serving platform.
Own API compatibility and evolution. Maintain compatibility with widely adopted inference interfaces while designing Cerebras-specific extensions. Establish clear versioning, deprecation, validation, and backward compatibility practices.
Integrate with model-serving runtimes. Extend and integrate custom inference services with vLLM, PyTorch, Hugging Face libraries, the AMD ROCm stack, and Cerebras runtime components.
Support disaggregated inference. Build the control and data paths required to coordinate GPU prefill with Cerebras decode, including request routing, state transfer, error handling, retries, and lifecycle management.
Improve serving performance. Optimize streaming behavior, time to first token, request latency, throughput, batching, serialization, tokenization, scheduling, and communication between serving components.
Ensure functional and numerical correctness. Build validation systems for tokenization, sampling, logits, generated outputs, precision changes, model upgrades, determinism, and compatibility across serving backends.
Strengthen reliability and observability. Define end-to-end service indicators and build structured logging, tracing, metrics, dashboards, health checks, and diagnostic tooling for production inference traffic.
Develop testing and qualification infrastructure. Create conformance tests, workload-replay tools, model-validation suites, performance benchmarks, integration tests, and release gates.
Improve developer experience. Build intuitive configuration, SDKs, documentation, examples, debugging tools, and self-service workflows for internal developers, customers, and partners.
Collaborate across the stack. Partner with compiler, runtime, kernel, cloud, product, and solutions teams to translate model and customer requirements into scalable serving capabilities.

Minimum Qualifications

5+ years of software engineering experience, including substantial individual-contributor ownership of production software or distributed systems.
Strong programming ability in Python and Go plus experience developing performance-sensitive or highly concurrent services in C++, Rust, or a similar systems language.
Experience building stable APIs with clear validation, error handling, observability, compatibility, and versioning practices.

Experience integrating software across service, framework, runtime, and infrastructure boundaries.
Experience designing or maintaining OpenAI-compatible, gRPC, REST, or streaming inference APIs.
Experience with Linux, containers, Kubernetes or comparable orchestration systems, CI/CD, and operating latency-sensitive services in production.
Ability to diagnose correctness, reliability, and performance issues across multiple components of a distributed serving system.
Strong communication and cross-functional execution skills, with the ability to turn ambiguous model or product requirements into production-quality software.
Bachelor's degree in computer science, Computer Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.

Preferred Qualifications

Experience modifying or contributing to vLLM, SGLang, PyTorch, Hugging Face Transformers, Triton, TensorRT-LLM, or another open-source ML systems project.
Experience creating API conformance, model-quality, numerical-comparison, determinism, or performance-regression test systems
Experience building SDKs, developer tools, model registries, configuration systems, or self-service ML platforms.
Experience with multi-model or multi-tenant inference platforms, including routing, admission control, fairness, quotas, rate limiting, and capacity-aware scheduling
Understanding of model-specific tokenization, chat templates, generation configuration, logits processing, stopping criteria, tool calling, structured generation, and constrained decoding.
Experience with disaggregated prefill/decode architectures, KV-cache transfer, prefix caching, chunked prefill, memory-aware admission control, or request scheduling.
Experience designing, building, or operating production APIs and services for machine learning, large language models, or other data-intensive applications.
Familiarity with reduced-precision inference and quantization formats such as BF16, FP8, FP4, INT8, or INT4.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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More about this job

Responsibilities

Build and maintain production inference APIs and serving systems, integrating models and coordinating GPU prefill with Cerebras decode across heterogeneous backends. Improve performance, correctness, reliability, testing, observability, and developer experience while collaborating across engineering, product, and customer-facing teams.

Requirements

Requires at least five years of software engineering experience, strong Python and Go skills, and experience with production APIs, distributed systems, and service integration. Candidates should also have experience with Linux, containers, orchestration, CI/CD, and production operations, plus a bachelor's degree in a relevant discipline or equivalent practical experience.

Skills

Python
Go
C++
Rust
API Design
Distributed Systems
Machine Learning Inference
Model Serving
Kubernetes
Linux
Streaming APIs
Performance Optimization
Observability
vLLM
PyTorch
Hugging Face Transformers

Visa sponsorship

Not detected in the job text

Keywords

Python
Go
C++
Rust
Cerebras Wafer-Scale Engine
GPU
Inference APIs
Distributed Systems
Model Serving
OpenAI-Compatible APIs
REST
gRPC
Streaming
vLLM
PyTorch
Hugging Face Transformers
AMD ROCm
Kubernetes
Linux
Containers
CI/CD
Disaggregated Inference
KV-Cache Transfer
Tokenization
Structured Outputs
Multimodal Inputs
Observability
Performance Benchmarking
Quantization
FP8

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